MMWS: Stata module to perform marginal mean weighting through stratification

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: mmws implements a method that combines elements of two propensity score-based techniques, stratification and weighting. mmws is a data pre-processing procedure that reweights a dataset to balance the observed pretreatment characteristics across all treatment groups. Under the strong ignorability assumption, the weighted data should approximate a randomized experiment. The weights generated by mmws can then be passed to the appropriate outcome model for use in subsequent analyses. There are at least three general scenarios in which mmws can be implemented: (1) a binary treatment in which one treatment group is compared to one control group; (2) an ordinal (or continuous) level treatment in which groups receiving the various levels of the intervention are compared; and (3) a multiple nominal level treatment in which groups receiving different interventions are compared.

Language: Stata
Requires: Stata version 13
Keywords: propensity score; stratification; weighting; marginal mean weighting; causal inference (search for similar items in EconPapers)
Date: 2014-08-15, Revised 2017-02-18
Note: This module should be installed from within Stata by typing "ssc install mmws". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/m/mmws.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mmws.sthlp help file (text/plain)

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